Inside Amazon’s Record C$14 Billion Bond Sale and the $600 Billion AI Debt Wave

On June 8–9, 2026, Amazon set a new benchmark in corporate borrowing, selling C$14 billion (about US$10 billion) of Canadian-dollar-denominated senior unsecured notes. It was the largest corporate bond offering ever in Canadian dollars, nearly double the C$8.5 billion record that Alphabet had set just weeks earlier in May . The five-part deal, spanning maturities from three to 30 years, drew roughly twice the offered amount in investor demand .

Officially, Amazon said the proceeds would go toward "general corporate purposes," including capital expenditure and debt repayment. But the context left little room for doubt: the company is pouring enormous sums into the physical infrastructure required for artificial intelligence. Amazon's overall capital spending in 2026 is expected to reach roughly $200 billion, overwhelmingly directed toward AI-focused data centers, servers, GPUs, and networking equipment for its AWS cloud division and generative AI services .

The Canadian-dollar bond, also known as a "maple bond," isn't an isolated financing event. It's the latest chapter in a much larger debt strategy. In March 2026, Amazon launched a US-dollar and euro bond sale targeting between $37 billion and $42 billion, one of the largest corporate offerings in history, again aimed at funding AI infrastructure . Since the start of 2025, Amazon has borrowed more than $82 billion across currencies including euros, Swiss francs, and now Canadian dollars .

The $600 billion AI spending race

Amazon's borrowing spree is just one part of a historic capital expenditure cycle across the technology industry's five largest hyperscalers—Amazon, Alphabet, Microsoft, Meta, and Oracle. Analysts widely forecast that the Big Five will spend in excess of $600 billion on infrastructure in 2026, a 36% increase from 2025 . Roughly 75% of that spending, or about $450 billion, is tied specifically to AI infrastructure rather than traditional cloud services .

Spending has accelerated sharply over the past three years. The five companies spent approximately $256 billion on combined capital expenditures in 2024, rising to roughly $443 billion in 2025, and are now projected to hit between $602 billion and $690 billion in 2026 . Goldman Sachs has estimated that total hyperscaler capex from 2025 to 2027 will reach $1.15 trillion . Moody's separately projected that the six largest U.S. hyperscalers—which also includes companies like Tesla—would spend roughly $700 billion on data center capex alone in 2026 .

To put those numbers in perspective, the AI infrastructure buildout is now consuming capital at a scale that rivals the physical infrastructure investments of entire nations. JPMorgan has projected more than $5 trillion in total spending on the data center and AI boom, including related power supplies .

Why debt markets are funding the AI buildout

For most of their histories, the Big Tech firms that now dominate AI infrastructure financed expansion primarily through cash flow. But the scale of the current buildout has overwhelmed that model. Capex now exceeds internal cash generation for these companies, forcing them to turn aggressively to debt markets in multiple currencies .

The numbers are staggering. Hyperscalers raised approximately $108 billion in debt during 2025 alone . Some estimates, factoring in private credit deals and project finance arrangements with firms like Blackstone and Apollo, put the figure closer to $121 billion . Analysts project that cumulative hyperscaler debt issuance over the next few years could reach $1.5 trillion .

Technology-sector bond issuance surpassed $200 billion in 2025, a record that analysts attributed almost entirely to AI infrastructure spending. By early 2026, year-to-date investment-grade tech issuance had already exceeded $67 billion . Morgan Stanley expects $250 billion to $300 billion in issuance from just the top five hyperscalers in 2026 . Barclays forecasts total U.S. corporate bond issuance of $2.46 trillion in 2026, an 11.8% increase from 2025, with AI hyperscalers a major driver .

A global scramble for capital

Amazon's Canadian-dollar deal exemplifies a broader shift: hyperscalers are tapping debt markets around the world, not just in their home currencies. In May 2026, Alphabet raised C$8.5 billion in Canadian dollars, which itself pushed total maple-bond issuance in 2026 to $19.8 billion, according to Royal Bank of Canada data . Amazon's much larger sale shattered that benchmark almost immediately.

The advantages for U.S. companies issuing in Canada can include favorable pricing, diversification of the investor base, and strong demand from Canadian pension funds and institutional investors seeking high-grade corporate exposure. Amazon and its peers have also issued bonds in euros, Swiss francs, and other currencies as part of their global funding strategies .

The broader economic stakes

The AI-led borrowing frenzy is reshaping fixed-income markets and raising questions about financial sustainability. Some analysts have begun to warn about a potential bubble in AI infrastructure financing. The Sourcery Intel report in May 2026 described the borrowing as "an unprecedented wave of debt-financed capital expenditure that raises serious questions about financial sustainability" .

Torsten Sløk, chief economist at Apollo Global Management, warned that the flood of new bonds from AI hyperscalers could put upward pressure on interest rates—an ironic outcome for technology companies that benefit from low capital costs .

Still, the market's appetite for these bonds remains strong. Amazon's US-dollar deal in March 2026 attracted peak demand of roughly $80 billion, far exceeding the amount raised . The C$14 billion maple-bond sale was oversubscribed by roughly two times . Investors appear to be betting that AI will generate returns that justify the massive upfront spending, even if those returns are years away.

The bottom line: Amazon's record C$14 billion Canadian-dollar bond is not just a milestone in its own right. It's a vivid illustration of how the AI arms race has transformed Big Tech's financial strategy, turning some of the world's most cash-rich companies into the bond market's most voracious borrowers.